The Cost of Building an AI Pipeline: The Untold Truths
Theoretically, it looks simple: define a goal, collect appropriate data, train the model with this data, validate it, and then monitor and measure the model’s quality, making adjustments if necessary. In real life, however, you deal with separate and major problems at every step. Shall we begin? :) Is your defined goal clear enough? What will the model be used for? Is there a previously built model for this? Is this a research and development job, or is it solving a previously unsolved problem? Or is the main goal just keeping up with the AI trend? If it’s just for the trend, definitely don’t develop a model. Because it’s not a goal. There’s not even anything worth doing the project for. ...